org.encog.neural.networks.training.concurrent.jobs

Class BPROPJob

java.lang.Object

org.encog.neural.networks.training.concurrent.jobs.TrainingJob

org.encog.neural.networks.training.concurrent.jobs.BPROPJob

public class BPROPJob
extends TrainingJob

A training definition for BPROP training.

Constructor Summary

Constructors

Constructor and Description
BPROPJob(BasicNetwork network, MLDataSet training, boolean loadToMemory, double learningRate, double momentum) Construct a job definition for RPROP.

Method Summary

Methods

Modifier and Type	Method and Description
void	createTrainer(boolean singleThreaded) Create a trainer to use.
double	getLearningRate()
double	getMomentum()
void	setLearningRate(double learningRate)
void	setMomentum(double momentum)

Methods inherited from class org.encog.neural.networks.training.concurrent.jobs.TrainingJob

getError, getNetwork, getStrategies, getTrain, getTraining, isLoadToMemory, setError, setLoadToMemory, setNetwork, setTrain, setTraining, shouldContinue

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BPROPJob

public BPROPJob(BasicNetwork network,
        MLDataSet training,
        boolean loadToMemory,
        double learningRate,
        double momentum)

Construct a job definition for RPROP. For more information on backprop, see the Backpropagation class. Use OpenCLratio of 1.0 and process one iteration per cycle.

Parameters:

network - The network to use.

training - The training data to use.

loadToMemory - Should binary data be loaded to memory?

learningRate - THe learning rate to use.

momentum - The momentum to use.

Method Detail

createTrainer

public void createTrainer(boolean singleThreaded)

Create a trainer to use.

Specified by:

createTrainer in class TrainingJob

getLearningRate

public double getLearningRate()

Returns:

the learningRate

getMomentum

public double getMomentum()

Returns:

the momentum

setLearningRate

public void setLearningRate(double learningRate)

Parameters:

learningRate - the learningRate to set

setMomentum

public void setMomentum(double momentum)

Parameters:

momentum - the momentum to set